Wideband target tracking by using SVR-based sequential Monte Carlo method

dc.contributor.authorKabaoglu, Nihat
dc.contributor.authorCirpan, Hakan A.
dc.date.accessioned2024-07-12T21:53:21Z
dc.date.available2024-07-12T21:53:21Z
dc.date.issued2008en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractIn this work. a support vector regression (SVR) based sequential Monte Carlo method is presented to track wideband moving sources using a linear and passive sensor array for a signal model based on buffered data. The SVR method is employed together with a particle filter (PF) method to improve the PF tracker performance when a small sample set is available. SVR is used as a sample producing scheme for the current state vector. To provide a good approximation of the posterior density by means of improving the sample diversity, samples (particles) are drawn from an importance density function whose mean and covariance are calculated by using the pre-estimating state vector and the state vector's previous estimate. Thus, a better posterior density than the classical one can be obtained. Simulation results show that the method proposed in this work performs better than the classical one when a small sample set is available. Moreover, the results also show that a modified signal model that utilizes buffering data is superior to the signal model in Ng et al. [Application of particle filters for tracking moving receivers in wireless communication systems, in: IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Rome, Italy, June 2003, pp.575-579]. (C) 2008 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.sigpro.2008.06.006
dc.identifier.endpage2816en_US
dc.identifier.issn0165-1684
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-47949126235en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2804en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.sigpro.2008.06.006
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8484
dc.identifier.volume88en_US
dc.identifier.wosWOS:000258813800020en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofSIGNAL PROCESSINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY03413
dc.subjectwideband array processingen_US
dc.subjecttarget trackingen_US
dc.subjectparticle filtersen_US
dc.subjectsequential Monte Carloen_US
dc.subjectsupport vector machinesen_US
dc.subjectsupport vector regressionen_US
dc.titleWideband target tracking by using SVR-based sequential Monte Carlo methoden_US
dc.typeArticle
dspace.entity.typePublication

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